Regional Research Economist, Economic Research

Details

Anthropic is seeking a Regional Research Economist to collaborate with governments, academia, industry, and civil society to measure and understand AI's effects on the economy and explore research-driven policy interventions. The role will contribute to the Anthropic Economic Index, develop regionally relevant insights, establish methodologies for measuring AI usage, diffusion, and impact, and broaden access to the resulting research.

The position combines empirical economics with novel measurement approaches, including the use of privacy-preserving systems such as Clio to analyze real-world AI interactions and understand how AI augments and automates work across occupations and tasks.

Responsibilities

• Build and maintain relationships with academic institutions, policy think tanks, and research partners in the region.
• Advance research collaborations addressing country- and region-specific economic impact questions.
• Translate research insights into actionable policy recommendations.
• Contribute to the development and expansion of the Anthropic Economic Index, including country- and region-specific analysis.
• Design and collaborate on empirical research into AI's economic effects with governments, academia, industry, and civil society.
• Develop methodological approaches for studying AI's impact on labor markets, the future of work, productivity, task transformation, economic inequality, displacement, industry-specific disruption and adaptation, and aggregate economic trajectories under varying AI-adoption scenarios.
• Work cross-functionally with technical teams to improve measurement infrastructure and data collection.
• Support external engagement through research publications, policy briefs, and presentations.

Requirements

• PhD in Economics.
• Strong empirical research track record, particularly research combining novel data sources with economic theory or implementing advanced methods in causal inference and machine learning.
• Demonstrated experience and relevant relationships across the region.
• Experience with labor market analysis, occupational change, task-based approaches to technological transformation, large-scale data analysis, econometrics, large language models for social science research, policy-relevant economic research, experimental and quasi-experimental causal inference, macroeconomic modeling, time-series forecasting, agent-based modeling, or large-scale simulation.
• Proficiency in Python, R, SQL, or similar tools for large-scale data analysis.
• Experience working with novel datasets and measurement systems.
• Ability to learn new technical tools and frameworks.
• Ability to lead complex research projects from conception to publication, communicate technical findings to diverse audiences, and build relationships across academic, policy, and industry communities.
• Strong interest in ensuring that AI development benefits humanity.
• Comfort working with AI systems and critically evaluating their capabilities and limitations.

Compensation

Annual salary: £195,000–£245,000 GBP.

Logistics

• Location-based hybrid policy: Staff are expected to work from an Anthropic office at least 25% of the time, although some roles may require more office time.
• Anthropic sponsors visas and will make every reasonable effort to support visa applications when an offer is made, although sponsorship is not guaranteed for every role or candidate.
• Minimum education listed in the logistics section: Bachelor's degree or an equivalent combination of education, training, and experience.
• Benefits include competitive compensation, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.